Suppression of noise in optical associative memories by real time thresholding Conference Paper

abstract

• Associative memories that recognize a pattern based on partial input have numerous applications such as homeland security. Optical implementations of associative memories, for example using computer-generated holograms, have the inherent parallelism as an advantage over software realizations. The nonlinear thresholding operation is a key step in the optical associative memories. A major source error in these memories is the thresholding uncertainties caused by fluctuation, for example in the input illumination or varying degrees of partial obscuration. Here, we show a proof-of-principle demonstration of a new scheme to suppress such errors using real time thresholding and a modified Hopfield associative memory model.

name of conference

• Fluctuations and Noise in Photonics and Quantum Optics III

authors

• Hemmer, Philip
• Zubairy, Muhammad

published proceedings

• Fluctuations and Noise in Photonics and Quantum Optics III

author list (cited authors)

• Deng, Z. J., Qing, D. K., Hemmer, P. R., & Zubairy, M. S.

citation count

• 0

complete list of authors

• Deng, ZJ||Qing, DK||Hemmer, PR||Zubairy, MS

editor list (cited editors)

• Hemmer, P. R., Gea-Banacloche, J. R., Heszler, Sr., P., & Zubairy, M. S.

publication date

• May 2005

publisher

• SPIE, the international society for optics and photonics  Publisher

published in

• Proceedings of SPIE  Journal

keywords

• Associative Memory
• Computer-generated Hologram
• Neural Network
• Thresholding

Digital Object Identifier (DOI)

• 10.1117/12.610953

International Standard Book Number (ISBN) 10

• 0-8194-5837-6

start page

• 305

end page

• 310

volume

• 5846

URL

• http%3A%2F%2Fdx.doi.org%2F10.1117%2F12.610953